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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Electronically Stored Information Process Audit:Requires knowledge of:Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. Delaware North Lead Data Engineer, Databricks Buffalo , New York Apply Now Delaware North is hiring a Lead Databricks Engineer to join our IT team in Buffalo, New York. As a Lead Databricks Engineer, you will be responsible for leading the development and optimization of our Databricks-based data processing and analytics platform.
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Micro Services/Web service development experience using Spring framework Strong experience in Amazon EMR/DataBricks/Cloudera CDP Experience with Dask, Numpy, Pandas, Scikit-Learn Hands-on experience in Big Data, Cloudera Distribution 7.
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Experience in logical & physical table design in Big Data environment to suite processing frameworks. Should have prior experience in working as a Data Warehouse/Big Data Architect.
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Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Data Architect who will closely work with Business Analysts in-order to design and develop the One-BI data warehouse which will be used as Enterprise-wide reporting system.
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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) Data Strategy, Data/Information Architect page is loaded.
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Leverage AWS or Azure cloud services for data storage, processing, and analytics, optimizing cost and performance. Proven experience with AWS or Azure cloud services for data storage, processing, and analytics.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data. 6 years of experience developing Digital Signal Processing algorithms, including voice processing (e.g., noise suppression, spectral analysis.
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Data Warehouse and Big Data Experience: Possess hands-on experience in designing and maintaining data warehouses and/or data lakes using big data technologies such as Hadoop, Spark, and especially DataBricks.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
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Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc.
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big data processing jobs Title: cloud architect
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